基于MSG-SSD的复合绝缘子憎水性等级智能识别方法  

Intelligent recognition method for hydrophobicity class of composite insulators based on MSG-SSD

作　　者：陈伟华[1] 马士博 闫孝姮[1] 李健华 Chen Weihua;Ma Shibo;Yan Xiaoheng;Li Jianhua(Faculty of Electrical and Control Engineering,Liaoning Technical University,Huludao 125105,China)

机构地区：[1]辽宁工程技术大学电气与控制工程学院,葫芦岛125105

出　　处：《电子测量与仪器学报》2025年第1期234-243,共10页Journal of Electronic Measurement and Instrumentation

基　　金：辽宁省教育厅科学技术研究创新团队项目(LT2019007);辽宁工程技术大学学科创新团队项目(LNTU20TD-29)资助。

摘　　要：复合绝缘子憎水性等级的检测是电力系统巡检中的重要环节,针对现有方法存在检测效率低、实时性差及模型结构复杂的问题,提出一种基于MSG-SSD的复合绝缘子憎水性等级智能识别方法。首先,检测模型以SSD算法为基准,采用轻量级MobileNetV2作为主干网络,在提升模型检测速度的同时实现网络的轻量化;其次,为增强对水迹特征的提取能力,构建高分辨率特征融合模块Sim-HRFPN,在特征融合的同时保留高分辨率的特征,以弥补因轻量化造成的精度损失;最后,为进一步提高模型的计算效率,将GhostConv替换额外预测特征层的传统卷积,在保持模型高性能的同时,减轻了计算负担。实验结果表明,相较于SSD,MSG-SSD的检测速度和检测精度分别提高48.17%和4.89%,计算量和参数量分别减少97.63%和82.99%。由此可知,改进模型不仅能精准识别和快速定位复合绝缘子的憎水性等级,而且满足边缘巡检设备轻量化部署的需求,为电力系统中复合绝缘子运行状态的智能检测提供了一种行之有效的方法。Detecting composite insulator hydrophobicity class is critical in power system inspections.This study proposes an intelligent recognition method for the hydrophobicity class of composite insulators based on MSG-SSD to address the challenges of low detection efficiency,poor real-time performance,and complex model structures in existing methods.Firstly,the detection model is based on the SSD algorithm,employing the lightweight MobileNetV2 as the backbone network to simplify the network and significantly enhance detection speed.Secondly,to improve the extraction capability of watermark features,a high-resolution feature fusion module,Sim-HRFPN,is constructed,which retains high-resolution features during the fusion process to compensate for the accuracy loss caused by the lightweight design.Finally,to further enhance the computational efficiency of the model,traditional convolution is replaced with GhostConv in the additional prediction feature layers,thereby significantly reducing the computational burden while maintaining the high performance of the model.The results indicate that,compared to SSD,MSG-SSD achieves a 48.17%improvement in detection speed and a 4.89%improvement in accuracy,while reducing computational cost and parameter count by 97.63%and 82.99%,respectively.From this,it can be concluded that the improved model accurately identifies and rapidly locates the hydrophobicity class of composite insulators and meets the lightweight deployment requirements of edge inspection devices.This provides an effective method for the intelligent detection of the operational status of composite insulators in power systems.

关 键 词：复合绝缘子 憎水性检测 智能识别 SSD算法 轻量化 特征融合 

分 类 号：TN911.73[电子电信—通信与信息系统] TM216[电子电信—信息与通信工程]